Qventus raises US$105 million to promote AI innovation in the medical industry
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As the AI industry continues to develop, the demand for AI technology is increasing. From machine learning to data science and natural language processing, knowledge in the AI field is becoming a core need for technicians and enterprises. You can set up AI courses and provide online learning platforms to help people master these skills.
How to make money :
Paid courses : Develop course content and publish it on platforms such as Udemy, Coursera, Teachable, etc., and sell it by course or by monthly subscription.
One-on-one tutoring : Provide customized personal tutoring to help students or professionals gain a deep understanding of AI technology, charged by the hour.
Enterprise training : Provide customized AI training courses for enterprises to help their employees master AI technology, priced according to the size of the enterprise.
Certification courses : Establish AI courses that can provide official certification to attract more students to purchase.
Case : Platforms such as Udemy and Coursera provide a large number of AI learning courses, and online education companies can also provide customized AI training for enterprises.
Applicable scenarios : AI-related courses and certifications such as data science, machine learning, deep learning, and natural language processing.
AI courses are suitable for people who are interested in artificial intelligence technology, including but not limited to students, engineers, data scientists, developers, and professionals in AI technology.
The course content ranges from basic to advanced. Beginners can choose basic courses and gradually go into more complex algorithms and applications.
Learning AI requires a certain mathematical foundation (such as linear algebra, probability theory, calculus, etc.), as well as programming knowledge (Python is the most commonly used programming language).
You will learn the core concepts and technologies in the fields of natural language processing, computer vision, data analysis, and master the use of AI tools and frameworks for practical development.
You can work as a data scientist, machine learning engineer, AI researcher, or apply AI technology to innovate in all walks of life.
